Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zhewen NIU"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 1, Pp 12-19 (2024)
Purposes With the continuous development of new electric power system in our country, large-scale new energy connected to the grid has greatly increased the possibility of bearing the impact of power flow, the current carrying capacity of the system
Externí odkaz:
https://doaj.org/article/9452df17618f452a9ec723d147859a46
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 1, Pp 102-110 (2024)
Purposes Deep learning based on centralized data can effectively improve the prediction accuracy of wind power, but the serious consequences of data leakage make wind farms constantly pay attention to the confidentiality of their own data, which hind
Externí odkaz:
https://doaj.org/article/730ce1cff9474c868e52415d53d03b5d
Publikováno v:
Advances in Mathematical Physics, Vol 2024 (2024)
The incorporation of renewable energy on a broad scale into power grids increases the complexity to the issue of transient voltage stability in power systems. This research presents a rapid evaluation technique for assessing the stability of voltage
Externí odkaz:
https://doaj.org/article/a14cde0193a3463b9801886bd5faa6a4
Publikováno v:
IEEE Access, Vol 9, Pp 125540-125549 (2021)
Wearing personal safety protective equipment (PSPE) plays a key role in reducing electrical injuries to electrical workers. However, substation employees often ignore this regulation due to lack of safety awareness and discomfortable feeling of weari
Externí odkaz:
https://doaj.org/article/5f623f1b437e49f28fa631f4cd295ea4
Publikováno v:
IEEE Access, Vol 8, Pp 136487-136497 (2020)
The fourth industrial revolution - Industry 4.0 - puts emphasis on the application of intelligent technologies in the area of monitoring and identification of electrical equipment. High precision and non-contact qualities make the infrared thermograp
Externí odkaz:
https://doaj.org/article/288dd169aaa745328950de456f90512c
Publikováno v:
IEEE Access, Vol 7, Pp 17184-17194 (2019)
Daily peak load forecasting is an essential tool for decision making in power system operation and planning. However, the daily peak load is a nonlinear, nonstationary, and volatile time series, which makes it difficult to be forecasted accurately. T
Externí odkaz:
https://doaj.org/article/e6ed9f2133d34e9683e6013427fd4239
Publikováno v:
Energy Engineering; 2024, Vol. 121 Issue 7, p1847-1863, 17p
Publikováno v:
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6506b3d22f270d2ecd3b4431ed76b03
https://doi.org/10.1109/ei256261.2022.10116244
https://doi.org/10.1109/ei256261.2022.10116244
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
Deep learning (DL)-based models can achieve satisfactory performance in bearing and gear fault diagnosis relying on sufficient fault vibration signals. However, it is difficult to acquire adequate machine fault data in industrial applications. Genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7aa4b8cc5da3fb5a5ed198b6e25438
https://doi.org/10.1109/tim.2021.3123433
https://doi.org/10.1109/tim.2021.3123433
Publikováno v:
IEEE Access, Vol 9, Pp 125540-125549 (2021)
Wearing personal safety protective equipment (PSPE) plays a key role in reducing electrical injuries to electrical workers. However, substation employees often ignore this regulation due to lack of safety awareness and discomfortable feeling of weari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725be10c4228990f512cbab6cefbd87b
https://ieeexplore.ieee.org/document/9513312/
https://ieeexplore.ieee.org/document/9513312/